i need help with this question lol please can someone help me
Yes, an inference can explain an observation but still be incorrect because inferences are interpretations or conclusions drawn from available evidence. They rely on reasoning and assumptions, which can be flawed or based on incomplete information. For instance, if someone observes a wet sidewalk and infers that it rained, they might be wrong if the wetness was due to a street cleaning. Thus, while inferences can provide plausible explanations, they are not inherently guaranteed to be accurate.
Causes are connected to inference through the process of reasoning that links an observed effect to its potential origins. When we observe a phenomenon, we often make inferences about what caused it based on evidence, prior knowledge, and context. This inferential reasoning allows us to form hypotheses about causal relationships, which can be tested or validated through further observation and experimentation. Ultimately, understanding these connections enhances our ability to explain and predict outcomes in various situations.
Forming a hypothesis - to explain the observation.
I have no clue
An observation.
Yes, an inference can explain an observation but still be incorrect because inferences are interpretations or conclusions drawn from available evidence. They rely on reasoning and assumptions, which can be flawed or based on incomplete information. For instance, if someone observes a wet sidewalk and infers that it rained, they might be wrong if the wetness was due to a street cleaning. Thus, while inferences can provide plausible explanations, they are not inherently guaranteed to be accurate.
The paradigm of social research that emphasizes making reasonable inferences through the combination of empirical observations and logical reasoning is often referred to as the scientific method. This approach relies on systematic observation, hypothesis testing, and rational analysis to draw conclusions about social phenomena. By integrating qualitative and quantitative data, researchers can develop theories that help explain behaviors and social patterns. This method underscores the importance of both data and reasoning in understanding complex social issues.
Causes are connected to inference through the process of reasoning that links an observed effect to its potential origins. When we observe a phenomenon, we often make inferences about what caused it based on evidence, prior knowledge, and context. This inferential reasoning allows us to form hypotheses about causal relationships, which can be tested or validated through further observation and experimentation. Ultimately, understanding these connections enhances our ability to explain and predict outcomes in various situations.
A statement that satisfies ALL SIX criteria on the CONPTT grid....Consistent,Observable, Natural, Predictable, Testable, Tentative
One English philosopher who described the Enlightenment tendency toward observation and logic to explain the world was John Locke. Locke advocated for empirical observation and reasoning to acquire knowledge and believed in the importance of individual rights and limited government.
no because how can you explain an observation without making one
The ultimate goal of science is to understand the natural world through observation, experimentation, and evidence-based reasoning in order to explain and predict phenomena.
A hypothesis is a statement that attempts to explain the relationship between observed factors based on educated guesses or predictions. It serves as a testable proposition that can be supported or refuted through experimentation or observation.
understanding the natural world through observation, experimentation, and evidence-based reasoning. It seeks to explain phenomena, make predictions, and advance human knowledge.
how misleading reasoning is used to influence others
Observation.
Forming a hypothesis - to explain the observation.